331 to 340 of 2,279 Results
Sep 23, 2024 - MOE AcRF Tier 2 grant MOE-000442-00
Kang, Zheng Tien, 2024, "Indicator from the graph Laplacian of stock market time series cross sections can precisely determine the durations of market crashes", https://doi.org/10.21979/N9/7YNZAQ, DR-NTU (Data), V2
This repository include the processed ultrametric distance matrices data, MATLAB scripts and data holder files (in .mat format) used to generate the results and figures in the PLOS paper with the above title. |
Turlapati, Sri Harsha, 2024, "Tracing curves in the plane: geometric-invariant learning from human demonstrations", https://doi.org/10.21979/N9/QLAMWF, DR-NTU (Data), V2
The empirical laws governing human-curvilinear movements have been studied using various relationships, including minimum jerk, the 2/3 power law, and the piecewise power law. These laws quantify the speed-curvature relationships of human movements during curve tracing using crit... |
Sep 20, 2024 - S-Lab for Advanced Intelligence
Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2024, "StructLDM: Structured Latent Diffusion for 3D Human Generation", https://doi.org/10.21979/N9/BXUEXV, DR-NTU (Data), V1
Recent 3D human generative models have achieved remarkable progress by learning 3D-aware GANs from 2D images. However, existing 3D human generative methods model humans in a compact 1D latent space, ignoring the articulated structure and semantics of human body topology. In this... |
Sep 17, 2024 - Ella RAIDEL
Raidel, Ella; Seide, Benjamin; William, Ross, 2024, "Performing the City", https://doi.org/10.21979/N9/9O3M2Q, DR-NTU (Data), V1
This paper explores the use of Cinematic VR as a tool for performative interventions in public spaces within the context of modernist architecture in Singapore. The audio-visual experience interrogates the complex relationship among bodies, memories, and the urban environment. Th... |
Sep 16, 2024 - TURLAPATI Sri Harsha
Turlapati, Sri Harsha; Accoto, Dino; Domenico, Campolo, 2024, "Data for: Haptic Manipulation of 3D Scans for Geometric Feature Enhancement (Refining 3D scan of a surface by manual haptic exploration)", https://doi.org/10.21979/N9/S2JEGS, DR-NTU (Data), V1
Object localisation, shape estimation, feature detection are important sub-tasks in overarching applications like industrial tooling, assembly, manufacturing and re-manufacturing which might require robotic automation through manipulation. 3D vision techniques provide robust solu... |
Sep 16, 2024 - Kai Wan YUEN
Yuen, Kai Wan, 2024, "Replication Data for: Indonesia’s new capital (Nusantara) and the intensification of sand mining in Kalimantan and Sulawesi", https://doi.org/10.21979/N9/9ATYSW, DR-NTU (Data), V2, UNF:6:cX6vD0BpbnlORSAIbfYHaA== [fileUNF]
Primary data for Indonesia’s new capital (Nusantara) and the intensification of sand mining in Kalimantan and Sulawesi |
Sep 16, 2024 - ZENG Hongyu
Zeng, Hongyu, 2024, "Data and Codes for: Exploring earthquake kinematics and physics using high-frequency seismic waves", https://doi.org/10.21979/N9/5TSPMV, DR-NTU (Data), V1
The material provides necessary codes and data to reproduce results in the theis, Exploring earthquake kinematics and physics using high-frequency seismic waves |
Loy, Chen Change, 2024, "EdgeSAM", https://doi.org/10.21979/N9/KF8798, DR-NTU (Data), V2
We present EdgeSAM, an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. Our approach involves distilling the original ViT-based SAM image encoder into a purely CNN-based architecture... |
Loy, Chen Change, 2024, "CodeFormer", https://doi.org/10.21979/N9/X3IBKH, DR-NTU (Data), V4
Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to 1) improve the mapping from degraded inputs to desired outputs, or 2) complement high-quality details lost in the inputs. In this paper, we demonstrate that the learned discrete codeboo... |
Sep 11, 2024 - Digital Signal Processing Laboratory
Lam, Bhan, 2024, "Replication Data for: Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates' ears", https://doi.org/10.21979/N9/8GHNGX, DR-NTU (Data), V1
This dataset contains the following data tables: timeSeries1sec.csv: Computed acoustic metric scores across all microphones and measurement positions The variables contained in the data table are detailed below: location: [Factor w/ 2 levels: "NICU", "HD"] Variable for the locati... |
